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Kreinovich, Vladik
University of Texas at El Paso
El Paso, Texas
 
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Vladik Kreinovich received his MS in Mathematics and Computer Science from St. Petersburg University, Russia, in 1974, and PhD from the Institute of Mathematics, Soviet Academy of Sciences, Novosibirsk, in 1979. From 1975 to 1980, he worked with the Soviet Academy of Sciences; during this time, he worked with the Special Astrophysical Observatory (focusing on the representation and processing of uncertainty in radioastronomy). For most of the 1980s, he worked on error estimation and intelligent information processing for the National Institute for Electrical Measuring Instruments, Russia. In 1989, he was a visiting scholar at Stanford University. Since 1990, he has worked in the Department of Computer Science at the University of Texas at El Paso. In addition, he has served as an invited professor in Paris (University of Paris VI), France; Hong Kong; St. Petersburg, Russia; and Brazil.

 

His main research interests are the representation and processing of uncertainty, especially interval computations and intelligent control. He has written three books, edited six books, and written more than 800 papers. Vladik is a member of the editorial board of the international journal Reliable Computing (formerly Interval Computations) and several other journals. In addition, he is the co-maintainer of the international Web site on interval computations (http://www.cs.utep.edu/interval-comp).

 

Vladik serves as president of the North American Fuzzy Information Processing Society; is a foreign member of the Russian Academy of Metrological Sciences; was the recipient of the 2003 El Paso Energy Foundation Faculty Achievement Award for Research awarded by the University of Texas at El Paso; and was a co-recipient of the 2005 Star Award from the University of Texas System.

 
 
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- 5 of 5 reviews

   
   Algorithms unlocked
Cormen T., The MIT Press, Cambridge, MA, 2013. 240 pp.  Type: Book (978-0-262518-80-2), Reviews: (1 of 2)

Computers are ubiquitous. Everyone uses computers and computer-based systems for many daily activities. Many computer applications are very user-friendly, meaning we can use them without understanding how they work, just as we can driv...

Sep 24 2013  
  Fundamentals of discrete math for computer science: a problem-solving primer
Jenkyns T., Stephenson B., Springer Publishing Company, Incorporated, New York, NY, 2012. 423 pp.  Type: Book (978-1-447140-68-9)

Most professional computer scientists understand that to be successful in our discipline, students need to learn discrete math. As a result of this understanding, discrete math is a required part of most computer science (CS) curricula...

Dec 28 2012  
  Modeling POMDPs for generating and simulating stock investment policies
Baffa A., Ciarlini A.  SAC 2010 (Proceedings of the 2010 ACM Symposium on Applied Computing, Sierre, Switzerland, Mar 22-26, 2010) 2394-2399, 2010.  Type: Proceedings

Technical analysis indicators are tools that use current and past stock prices to come up with buy/sell recommendations. Baffa and Ciarlini show that the efficiency of these tools can be drastically improved if they are combined with p...

Aug 5 2010  
  Parameter estimation for scientists and engineers
Bos A., Wiley-Interscience, 2007. 288 pp.  Type: Book (9780470147818)

In practice, we are often interested in predicting the value of a physical quantity; for example, we would like to know how the radiation of a radioactive sample will change with time, or how the electric current produced by a thermoco...

Sep 10 2008  
  Singularities and computer algebra
Lossen C., Pfister G., Hitchin N., Cambridge University Press, New York, NY, 2006. 408 pp.  Type: Book (9780521683098)

Starting with Newton’s laws, most physical theories deal with smoothly changing quantities. Differential equations describe how these quantities change with time. There exist efficient numerical methods for the accurate solut...

Jan 18 2007  
 
 
   
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